Results 221 to 230 of about 2,800 (262)

Shell digitisation for disease control: creating a digital collection of schistosomiasis host snail shells

Cieplinski AP, Camaiti M, Ablett JD, Clark B, Webster B, Emery AM.   +5 more
europepmc   +1 more source

Modelling the spread of two successive SIR epidemics on a configuration model network. [PDF]

J Math Biol
Ball F, Lashari AA, Sirl D, Trapman P.
europepmc   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

Advanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar, Akash Vyas, Mohammad Aatif Qazi, Nashit Jalal, Maria Ophelia Jarligo, Mostafa Yakout, Jing Liu, André McDonald   +7 more
wiley   +1 more source

Analysis of the effect of pressure force on the microstructure properties of pressure measuring films. [PDF]

Sci Rep
Kalina A, Ostachowski P, Pytel M, Witkowski W.   +3 more
europepmc   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Jasmonic acid signalling is targeted by a smut fungal Tin2-fold effector. [PDF]

J Exp Bot
Gul S, Mendoza-Rojas G, Heinen M, Heßler N, Galle S, Zeier J, Smits SHJ, Altegoer F, Göhre V.   +8 more
europepmc   +1 more source

A novel method for subgroup discovery in precision medicine based on topological data analysis. [PDF]

BMC Med Inform Decis Mak
Loughrey CF, Maguire S, Dłotko P, Bai L, Orr N, Jurek-Loughrey A.   +5 more
europepmc   +1 more source

AFragmenter: schema-free, tuneable protein domain segmentation for AlphaFold protein structures. [PDF]

Bioinformatics
Verwimp S, Lavigne R, Lood C, van Noort V.   +3 more
europepmc   +1 more source

ProteoCast: a web server to predict, validate, and interpret missense variant effects

Abakarova M, Freiberger MI, Liehrmann A, Rera M, Laine E.   +4 more
europepmc   +1 more source